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Project comparison
Swanlab vs Ray
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Swanlab
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.
Best matched with other platform tools.
4.2K
Stars
+281
Weekly
67/100
Health
Ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Best matched with other platform tools.
42.5K
Stars
+72
Weekly
74/100
Health
Quick Take
Adoption
Ray has the larger GitHub footprint with 42.5K stars.
Momentum
Swanlab is currently growing faster at +281 stars this week.
Maintenance
Ray has the stronger automated maintenance signal at 74/100. This is not a security or fit verdict.
Side-by-side evidence
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | Swanlab | Ray |
|---|---|---|
| Evidence status | Basic listing· 2026-10-04 09:18 UTC | Basic listing· 2026-10-04 09:18 UTC |
| GitHub stars | 4.2K | 42.5K |
| Weekly growth | +281 | +72 |
| Health score | Healthy67/100 | Healthy74/100 |
| Contributors | 44 | 1.6K |
| Commits per week | 3.8 | 87.6 |
| Open issues | 57 | 3.5K |
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last commit | 2026-09-06 10:54 UTC | 2026-05-11 23:54 UTC |
| Last release | v0.10.0 | ray-2.55.1 |
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